Efficiency Evaluation on MFNet (test) for Semantic Segmentation
0.74Params (M)MFNet*
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MFNet*Backbone=5Conv-5Conv2023.06 | 0.74 | 8.42 | 205.47 | 137.39 | |
| PSTNet*Backbone=ResNet182023.06 | 31.04 | 163.64 | 102.82 | 64.76 | |
| RSFNetBackbone=DenseNet161-1212023.06 | 44.1 | 95.02 | 34.15 | 14.1 | |
| RSFNetBackbone=ResNet50-182023.06 | 44.53 | 64.69 | 81.36 | 40.47 | |
| EGFNet*Backbone=ResNet152-1522023.06 | 62.78 | 201.09 | 18.36 | 8.12 | |
| RSFNetBackbone=ResNet101-342023.06 | 73.63 | 98.82 | 57.31 | 28.4 | |
| MTANetBackbone=ResNet152-1522023.06 | 121.58 | 264.96 | — | 8.4 | |
| FuseSegBackbone=DenseNet161-1612023.06 | 141.52 | 193.4 | — | 16.88 | |
| RTFNet*Backbone=ResNet152-1522023.06 | 254.51 | 336.69 | 33.86 | 14.63 |